Eric Hsiung Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

unknown

2 h-index 2 pubs 15 cited

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Biography and Research Information

OverviewAI-generated summary

Eric Hsiung focuses on reinforcement learning techniques to improve robot behavior. He explores how robots can learn through a combination of demonstration and evaluative feedback, and his work incorporates both instructive and evaluative signals to train reward models. Hsiung's research also delves into AI-based problem solving and planning, as well as adversarial robustness in machine learning systems.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 15

Selected Publications

  • Norm Learning with Reward Models from Instructive and Evaluative Feedback (2022) DOI

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